Systems | Development | Analytics | API | Testing

Is it possible to create an event-based architecture on top of the existing API ecosystem? We are all creatures of convenience.

From knowing your cash inflows and outflows and testing out pricing strategies, here is how to create an accurate SaaS cash flow forecast.

From managing financial statements, signage, storage space, office space floors, and land, real estate financial professionals manage many of their businesses’ most critical moving parts. And real estate is growing–by 2026, the market is expected to reach $5388.87 billion by 2026 at a compound annual growth rate (CAGR) of 9.6%. When the time comes for month-end reporting, ERPs like Yardi manage and compartmentalize data with out of the box reports.

If someone had told my 15-years-ago self that I’d become a DevOps engineer, I’d have scratched my head and asked them to repeat that. Back then, of course, applications were either maintained on a dedicated server or (sigh!) installed on end-user machines with little control or flexibility. Today, these paradigms are essentially obsolete; cloud computing is ubiquitous and successful.

IT leaders pick different clouds for many reasons, but the rest of the company shouldn’t be left to navigate the complexity of those decisions. For data analysts, that complexity is most immediately felt when navigating between data silos. Google Cloud has invested deeply in helping customers break down these barriers inherent in a disparate data stack. Back in October 2021, we launched BigQuery Omni to help data analysts access and query data across the barriers of multi cloud environments.

Protecting sensitive data and preventing unintended data exposure is critical for businesses. However, many organizations lack the tools to stay on top of where sensitive data resides across their enterprise. It’s particularly concerning when sensitive data shows up in unexpected places – for example, in logs that services generate, when customers inadvertently send it in a customer support chat, or when managing unstructured analytical workloads.

The cloud is growing more and more popular each day. We are in an era where there is a prominent trend of companies migrating from traditional on-premise systems to more reliable and fast cloud-based systems. However, the conversion is still not rampant on a large scale, primarily due to the lack of awareness in the up-and-coming businesses about the cloud’s fundamentals. However, the cloud has proven to be a sound and worthy option time and time again.

Your company needs data replication for analytics, better performance and disaster recovery.

The cloud data platform combines data warehouse and data lake capabilities to support the exploding world of analytics. Like a data warehouse, the cloud data platform structures, transforms, and queries data. Like a data lake, it classifies multi-structured data objects in an elastic object store. The cloud data platform provides an ideal launchpad for modern business intelligence (BI) projects that need fast, flexible access to lots of varied data. As you might expect, this is a tall order to fill.

Major technology events are back, and so are we. The Atlassian Team ‘22 event in Las Vegas happened last week and we were thrilled to attend in person. And usually, what happens in Vegas stays in Vegas. But today, we’re talking all about what took place, who was there, and how we participated. So, what were the most memorable moments at Atlassian Team ‘22? Read on to find out.